168 search results - page 1 / 34 » Multivariate analysis of microarray data: differential expre... |
BMCBI
2011
13 years 6 months ago
2011
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
BMCBI
2008
13 years 11 months ago
2008
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
BMCBI
2004
13 years 11 months ago
2004
Background: To identify differentially expressed genes, it is standard practice to test a twosample hypothesis for each gene with a proper adjustment for multiple testing. Such te...
BMCBI
2007
13 years 11 months ago
2007
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
BMCBI
2007
13 years 11 months ago
2007
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...